Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Integrativ gjennomgang× | Systematisk litteraturgjennomgang× | |
|---|---|---|
| Fagfelt | Scientometri | Scientometri |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2005 (updated methodology); roots in Cooper (1982) | 1993 (Cochrane Collaboration); 2004 (Kitchenham SLR guidelines) |
| Opphavsperson≠ | Robin Whittemore & Kathleen Knafl | Archie Cochrane (conceptual foundation); formalized by the Cochrane Collaboration (1993) and Barbara Kitchenham in software engineering (2004) |
| Type≠ | Systematic review method | Evidence synthesis methodology |
| Opprinnelig kilde≠ | Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553. DOI ↗ | Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele University Technical Report TR/SE-0401. link ↗ |
| Alias | integrative literature review, integrative research review, ILR, integrative synthesis | SLR, systematic review, evidence synthesis review, structured literature review |
| Relaterte≠ | 6 | 5 |
| Sammendrag≠ | An integrative review is a systematic method for synthesising literature that allows the simultaneous inclusion of diverse study designs — experimental, quasi-experimental, and non-experimental — as well as theoretical papers. Unlike the conventional systematic review, which is restricted to controlled trials or a single methodology, the integrative review builds a comprehensive understanding of a phenomenon by drawing on the full breadth of the relevant evidence base. The method follows a rigorous, structured pipeline to ensure transparency and minimise bias. | A systematic literature review (SLR) is a structured, reproducible method for identifying, appraising, and synthesizing all relevant studies on a research question. Unlike a narrative review, it follows an explicit, pre-specified protocol — from database search strings through inclusion criteria to data extraction — so that the process is transparent, auditable, and replicable by other researchers. It is widely used in medicine, education, software engineering, and the social sciences to produce the most comprehensive possible evidence base on a topic. |
| ScholarGateDatasett ↗ |
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